A Study on Operator Allocation Method Considering the Productivity and the Training Effect in Labor-Intensive Manufacturing System

Since productivity depends on the operator's skill in the labor-intensive c manufacturing system, effective skill training is a type of important issue. We proposed the operator allocation method using the skill index as a new index of human factor in our previous study. However, the training and productivity are in trade-off relation in general. In this study, we propose the operator allocation method of the labor-intensive manufacturing system by the case of cell manufacturing system which considers operator training and productivity at the same time by using the sum of skill index and the makespan in multi-objective function. For using the different unit of indexes, the standardization point in this method was adopted. The pilot test was executed and standardized an index to deal with a different index at the same time. And Simulated Annealing was using to find a solution.